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Comparison

moby vs plexiglass

Verdict

Pick moby when moby is primarily Go; plexiglass is Python; pick plexiglass when plexiglass is primarily Python; moby is Go.

Markdown twin · moby alternatives · plexiglass alternatives

GraphCanon updated today

moby logo

moby

moby/moby

★ 72kpushed Jul 10, 2026
vs
plexiglass logo

plexiglass

safellama/plexiglass

★ 153pushed Feb 4, 2026

Trust & integrity

Signalmobyplexiglass
Maintenance
Very active (1d since push)
As of today · github_public_v1
Slowing (157d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No lockfile
As of today · none
moby trust reportplexiglass trust reportTrust methodology

Tagline

moby
The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
plexiglass
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

Stars

moby
72k
plexiglass
153

Forks

moby
19k
plexiglass
18

Open issues

moby
3.8k
plexiglass
0

Language

moby
Go
plexiglass
Python

Adopt for

moby
-
plexiglass
-

Persona

moby
-
plexiglass
-

Runtime

moby
-
plexiglass
-

License

moby
Apache-2.0
plexiglass
Apache-2.0

Last pushed

moby
Jul 10, 2026
plexiglass
Feb 4, 2026

Categories

moby
LLM Frameworks, Developer Tools, Inference & Serving
plexiglass
LLM Frameworks, Developer Tools

Trust and health

Maintenance

moby
Very active (96%)
plexiglass
Slowing (36%)

Days since push

moby
1d
plexiglass
157d

Open issues (now)

moby
3.8k
plexiglass
0

Security scan

moby
No criticals
plexiglass
No lockfile

Full report

moby
Trust report
plexiglass
Trust report

Choose moby if…

  • moby is primarily Go; plexiglass is Python.
  • Tags unique to moby: go, docker, golang, containers.
  • Also covers Inference & Serving.
  • moby ships Docker support for self-hosted deployment.

When NOT to use moby

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Choose plexiglass if…

  • plexiglass is primarily Python; moby is Go.
  • Tags unique to plexiglass: adversarial-attacks, deep-learning, machine-learning, cybersecurity.
  • Leaner open-issue backlog (0).

When NOT to use plexiglass

  • Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Explore

moby trust report →plexiglass trust report →LLM Frameworks category →Developer Tools category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: moby 72k · plexiglass 153 (synced Jul 11, 2026).

Common questions

What is the difference between moby and plexiglass?
moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. plexiglass: A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).. See the comparison table for live GitHub stats and shared categories.
When should I choose moby over plexiglass?
Choose moby over plexiglass when moby is primarily Go; plexiglass is Python; Tags unique to moby: go, docker, golang, containers; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment.
When should I choose plexiglass over moby?
Choose plexiglass over moby when plexiglass is primarily Python; moby is Go; Tags unique to plexiglass: adversarial-attacks, deep-learning, machine-learning, cybersecurity; Leaner open-issue backlog (0).
When should I avoid moby?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid plexiglass?
Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Is moby or plexiglass more popular on GitHub?
moby has more GitHub stars (71,899 vs 153). Stars measure visibility, not whether either tool fits your constraints.
Are moby and plexiglass open source?
Yes - both are open-source projects on GitHub (moby: Apache-2.0, plexiglass: Apache-2.0).
Where can I find alternatives to moby or plexiglass?
GraphCanon lists graph-backed alternatives at moby alternatives and plexiglass alternatives (moby markdown twin, plexiglass markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, moby or plexiglass?
moby: Very active. plexiglass: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for moby and plexiglass?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: moby trust report; plexiglass trust report.